Precognox Labs

At Precognox, Data Science consists of Search, Natural Language Processing and Analytics. Usually, we are working with huge amounts of textual data and we help our clients to understand the information stored in texts by making the data searchable, extracting meta-data (e.g. named entities, timestamps) enriching data (e.g. clustering it into topics or classifying it into predetermined classes, sentiment and emotion scores) and presenting the information for providing insights into the data.

Data Science is not magic, our Data Team follows industry standard best practices from the very beginning of each project. The usual workflow has got the following steps:

Managing your data

Most Data Science problems need labeled data to train machine learning algorithms. This means either you can provide labels, or labels should be added to the data. Our QA team is ready to label – or if you prefer fancy words, annotate – your data.

Taking care of your data

We are taking care of our clients’ data, so only the necessary number of people will have access, and they will treat it confidentially. Your data will be stored with strictly managed accessibility.

Know what you get from Precognox

We provide you an evaluation of the system upon completing it, so you will know how confident you can be using our data analysis tools.

Visualizing Star Wars Movie Scripts

A long time ago, in a galaxy far, far away data analysts were talking about the upcoming new Star Wars movie. One of them has never seen any episode of the two trilogies before, so they decided to make the movie more accessible to this poor fellow.

Hungarian sentiment dictionaries

You can find our Hungarian sentiment dictionaries on opendata.hu If you'd like to know more about these resources, check out our blog post.

Hungarian Teachers’ Protests: What happened on Facebook?

In the beginning of 2016 Hungarian teachers, students and supporters organized a mass movement to express their strong disagreement over the government's education policy. In Budapest and in other big cities notable demonstrations took place, one on 13 February and the other on 15 March. During these months many posts and comments were published and many opinions were expressed on Facebook. With the help of our Facebook scraper we scraped the posts, comments, likes, reactions and active persons of the two events. After that we created a Shiny dashboard working on this data, aiming to understand the community's Facebook activity and discourse through visualizations.

Anti-roma topics on kuruc.info

From the mid 2000's the number of anti-roma and racist utterances have been increasing in Hungary and this manner of speech has become accepted in the common discourse. Our research focused on the anti-roma topics in the far-right media over this period. Here you can discover the distribution of various topics over time along with the most important events that influenced each one of them.

Facebook scraper

You can find our little Python-based Facebook scraper on github.

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Precognox

This site is dedicated to our R&D activities, to see what we are doing for profit, check out our customers' page.